Anish Mitra
Cognitive Neuroscience · 2013–2019
A researcher in the Science corpus: 3 papers; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Cognitive Neuroscience — 48 citations into it; #8,890 of 10,852 by trust here, #2,786 by citations
- Radiology, Nuclear Medicine and Imaging — 36 citations into it; #2,588 of 3,265 by trust here, #990 by citations
Whom Anish Mitra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jonathan D. Power
- Stephen M. Smith
- Kevin Murphy
- Theodore D. Satterthwaite
- K. V. Dijk
- Abraham Z. Snyder
- Christopher D. Smyser
- Ziad S. Saad
- Hang Joon Jo
- Rasmus M. Birn
Who trusts Anish Mitra overall
- Jonathan D. Power
- Raimon H. R. Pruim
- Timothy O. Laumann
- Ru Kong
- Jingwei Li
- Evan M. Gordon
- Thomas T. Liu
- Michael W. Cole
Papers from Anish Mitra's perspective
Ordered by how strongly the researchers Anish Mitra trusts endorse each paper. Same corpus, a different order for every researcher.
- The global signal and observed anticorrelated resting state brain networks. (Journal of Neurophysiology)
- Correspondence of the brain's functional architecture during activation and rest
- Impact of In-Scanner Head Motion on Multiple Measures of Functional Connectivity: Relevance for Studies of Neurodevelopment in Youth (NeuroImage)
- Multiplexed Echo Planar Imaging for Sub-Second Whole Brain FMRI and Fast Diffusion Imaging (PLoS ONE)
- Intrinsic functional connectivity as a tool for human connectomics: theory, properties, and optimization. (Journal of Neurophysiology)
- Network modelling methods for FMRI
- The impact of global signal regression on resting state correlations: Are anti-correlated networks introduced? (NeuroImage)
- Prediction of Individual Brain Maturity Using fMRI (Science)
- Correlations and anticorrelations in resting-state functional connectivity MRI: A quantitative comparison of preprocessing strategies (NeuroImage)
- Differentiating BOLD and Non-BOLD Signals in fMRI Time Series Using Multi-Echo EPI (NeuroImage)